Lozano, Aurelie C.

19 publications

NeurIPS 2023 Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction Zuobai Zhang, Minghao Xu, Aurelie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang

AAAI 2022 Directed Graph Auto-Encoders Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

NeurIPS 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks Jihun Yun, Aurelie C. Lozano, Eunho Yang

ECML-PKDD 2017 Learning Task Clusters via Sparsity Grouped Multitask Learning Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano

ICLR 2017 Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano

IJCAI 2017 Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano

ICML 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees Without Unreasonable Conditions and a Case for Non-Convexity Eunho Yang, Aurélie C. Lozano

CVPR 2016 Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion Jialei Wang, Peder A. Olsen, Andrew R. Conn, Aurelie C. Lozano

NeurIPS 2015 Closed-Form Estimators for High-Dimensional Generalized Linear Models Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar

NeurIPS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso Eunho Yang, Aurelie C. Lozano

NeurIPS 2014 Elementary Estimators for Graphical Models Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar

AISTATS 2013 A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-High Dimensions Prabhanjan Kambadur, Aurélie C. Lozano

UAI 2013 Scalable Matrix-Valued Kernel Learning for High-Dimensional Nonlinear Multivariate Regression and Granger Causality Vikas Sindhwani, Ha Quang Minh, Aurélie C. Lozano

ICML 2012 Multi-Level Lasso for Sparse Multi-Task Regression Aurélie C. Lozano, Grzegorz Swirszcz

NeurIPS 2011 Non-Parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels Vikas Sindhwani, Aurelie C. Lozano

NeurIPS 2010 Block Variable Selection in Multivariate Regression and High-Dimensional Causal Inference Vikas Sindhwani, Aurelie C. Lozano

ICML 2010 Learning Temporal Causal Graphs for Relational Time-Series Analysis Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu

NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction Grzegorz Swirszcz, Naoki Abe, Aurelie C. Lozano

NeurIPS 2005 Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations Aurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire